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Shape from focus using multilayer feedforward neural networks
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DOI：10.1109/83.967395.png)
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Abstract
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The conventional shape-from-focus (SFF) methods have inaccuracies because of piecewise constant approximation of the focused image surface (FIS). We propose a scheme for SFF based on representation of three-dimensional (3-D) FIS in terms of neural network weights. The neural networks are trained to learn the shape of the FIS that maximizes the focus measure.
Keywords:
focused image surface (FIS)
neural networks
optimization
shape from focus (SFF)
3-D shape
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